Analystes d'Études de Marché
Affaires et FinancesExposition à l'IA
- Source des données: BLSPublié: '26.08
Très élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: '26.03
0.648
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: '25
0.55
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 12% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Afficher 33 tâches masquées| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Develop transactional Web applications, using Web programming software and knowledge of programming languages, such as hypertext markup language (HTML) and extensible markup language (XML).13-1161 | 0.170031.5 | 0.06008.3 |
Gather data on competitors and analyze their prices, sales, and method of marketing and distribution.13-1161 | 0.090016.7 | 0.04005.6 |
Implement online customer service processes to ensure positive and consistent user experiences.13-1161 | 0.080014.8 | 0.390054.2 |
Prepare reports of findings, illustrating data graphically and translating complex findings into written text.13-1161 | 0.05009.3 | 0.02002.8 |
Conduct market research analysis to identify search query trends, real-time search and news media activity, popular social media topics, electronic commerce trends, market opportunities, or competitor performance.13-1161 | 0.02003.7 | 0.06008.3 |
Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.13-1161 | 0.02003.7 | 0.04005.6 |
Forecast and track marketing and sales trends, analyzing collected data.13-1161 | 0.02003.7 | 0.01001.4 |
Prepare electronic commerce designs or prototypes, such as storyboards, mock-ups, or other content, using graphics design software.13-1161 | 0.02003.7 | 0.01001.4 |
Identify and develop commercial or technical specifications, such as usability, pricing, checkout, or data security, to promote transactional internet-enabled commerce functionality.13-1161 | 0.02003.7 | 0.00000.0 |
Optimize Web site exposure by analyzing search engine patterns to direct online placement of keywords or other content.13-1161 | 0.01001.9 | 0.02002.8 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.O*NET Task ID 5433 | 0.5 |
Prepare reports of findings, illustrating data graphically and translating complex findings into written text.O*NET Task ID 5434 | 0.5 |
Measure and assess customer and employee satisfaction.O*NET Task ID 5435 | 0.5 |
Forecast and track marketing and sales trends, analyzing collected data.O*NET Task ID 5436 | 0.5 |
Seek and provide information to help companies determine their position in the marketplace.O*NET Task ID 5437 | 0.5 |
Measure the effectiveness of marketing, advertising, and communications programs and strategies.O*NET Task ID 5438 | 0.5 |
Conduct research on consumer opinions and marketing strategies, collaborating with marketing professionals, statisticians, pollsters, and other professionals.O*NET Task ID 5439 | 0.5 |
Attend staff conferences to provide management with information and proposals concerning the promotion, distribution, design, and pricing of company products or services.O*NET Task ID 5440 | 0.5 |
Gather data on competitors and analyze their prices, sales, and method of marketing and distribution.O*NET Task ID 5441 | 0.5 |
Monitor industry statistics and follow trends in trade literature.O*NET Task ID 5442 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Évolutions récentes concernant ce métier
avr. 2026: ATE 0.43 by 2027 in SF Bay Tier 1, in the SOC 13 Financial category (91 occupations analyzed). Crosses moderate-risk threshold ahead of Tier 2 and Tier 3 metros.
[Source: arXiv 2604.00186 (Gupta & Kumar, 2026)]mars 2026: Published evergreen blog post analyzing AI impact. 55% exposure, 38% risk, BLS +8% growth.
[Source: AI Changing Work Blog]mars 2026: New blog post: market research faces 60% exposure, 42% risk. 905K workforce.
[Source: ACW Blog]